Contact Info
Department of Applied Mathematics
University of Waterloo
Waterloo, Ontario
Canada N2L 3G1
Phone: 519-888-4567, ext. 32700
Fax: 519-746-4319
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Zitao He | Applied Mathematics, University of Waterloo
Applications of Machine Learning and Other Data-driven Methods in Epidemiology
Mechanistic models and machine learning are two different types of modelling methods—the former method is developed through a deductive process and focuses on the underlying physical laws, while the latter uses inductive reasoning and attempts to build a direct connection between data. Problems in epidemiology have long been studied with mechanistic models as they successfully explain why and how individuals progress between compartments, changing the populations in size. These days, with a drop in the cost of computation and increasing ease of collecting data, machine learning's strength in tackling massive multiscale data has been amplified. Recent advances in machine learning algorithms have made it a reliable predictive tool, even though it could provide non-physical solutions. This thesis aims to explore synergic ways by incorporating the advantages of mechanistic models and machine learning, addressing problems in the field of epidemiology related to disease prediction, prevention, and control.
Contact Info
Department of Applied Mathematics
University of Waterloo
Waterloo, Ontario
Canada N2L 3G1
Phone: 519-888-4567, ext. 32700
Fax: 519-746-4319
PDF files require Adobe Acrobat Reader
The University of Waterloo acknowledges that much of our work takes place on the traditional territory of the Neutral, Anishinaabeg and Haudenosaunee peoples. Our main campus is situated on the Haldimand Tract, the land granted to the Six Nations that includes six miles on each side of the Grand River. Our active work toward reconciliation takes place across our campuses through research, learning, teaching, and community building, and is co-ordinated within the Office of Indigenous Relations.